The Invariant Extended Kalman Filter as a Stable Observer
We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic nonlinear observer on Lie groups, for continuous-time systems with discrete observations. One of the main features of invariant observers for left-invariant systems on Lie gr...
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Published in | IEEE transactions on automatic control Vol. 62; no. 4; pp. 1797 - 1812 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.04.2017
Institute of Electrical and Electronics Engineers |
Subjects | |
Online Access | Get full text |
ISSN | 0018-9286 1558-2523 |
DOI | 10.1109/TAC.2016.2594085 |
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Abstract | We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic nonlinear observer on Lie groups, for continuous-time systems with discrete observations. One of the main features of invariant observers for left-invariant systems on Lie groups is that the estimation error is autonomous. In this paper we first generalize this result by characterizing the (much broader) class of systems for which this property holds. For those systems, the Lie logarithm of the error turns out to obey a linear differential equation. Then, we leverage this "log-linear" property of the error evolution, to prove for those systems the local stability of the IEKF around any trajectory, under the standard conditions of the linear case. One mobile robotics example and one inertial navigation example illustrate the interest of the approach. Simulations evidence the fact that the EKF is capable of diverging in some challenging situations, where the IEKF with identical tuning keeps converging. |
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AbstractList | We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic nonlinear observer on Lie groups, for continuous-time systems with discrete observations. One of the main features of invariant observers for left-invariant systems on Lie groups is that the estimation error is autonomous. In this paper we first generalize this result by characterizing the (much broader) class of systems for which this property holds. For those systems, the Lie logarithm of the error turns out to obey a linear differential equation. Then, we leverage this "log-linear" property of the error evolution, to prove for those systems the local stability of the IEKF around any trajectory, under the standard conditions of the linear case. One mobile robotics example and one inertial navigation example illustrate the interest of the approach. Simulations evidence the fact that the EKF is capable of diverging in some challenging situations, where the IEKF with identical tuning keeps converging. We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic non-linear observer on Lie groups, for continuous-time systems with discrete observations. One of the main features of invariant observers for left-invariant systems on Lie groups is that the estimation error is autonomous. In this paper we first generalize this result by characterizing the (much broader) class of systems for which this property holds. Then, we leverage the result to prove for those systems the local stability of the IEKF around any trajectory, under the standard conditions of the linear case. One mobile robotics example and one inertial navigation example illustrate the interest of the approach. Simulations evidence the fact that the EKF is capable of diverging in some challenging situations, where the IEKF with identical tuning keeps converging. |
Author | Bonnabel, Silvere Barrau, Axel |
Author_xml | – sequence: 1 givenname: Axel surname: Barrau fullname: Barrau, Axel email: axel.barrau@safrangroup.com organization: Groupe Safran, Safran Tech, Magny Les Hameaux, France – sequence: 2 givenname: Silvere surname: Bonnabel fullname: Bonnabel, Silvere email: silvere.bonnabel@mines-paristech.fr organization: Centre for Robot., PSL Res. Univ., Paris, France |
BackLink | https://minesparis-psl.hal.science/hal-01692380$$DView record in HAL |
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Snippet | We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic nonlinear observer on Lie groups,... We analyze the convergence aspects of the invariant extended Kalman filter (IEKF), when the latter is used as a deterministic non-linear observer on Lie... |
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SubjectTerms | Asymptotic observers Automatic Convergence Differential equations Engineering Sciences Estimation error Kalman filters Mathematical model nonlinear filters Observers Trajectory |
Title | The Invariant Extended Kalman Filter as a Stable Observer |
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